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Autonomous information

What is an autonomous job?

Autonomous jobs refer to roles or tasks that are performed independently, often with minimal supervision or direction. In the context of technology, autonomous jobs usually involve the use of artificial intelligence or robotics to carry out work without constant human intervention. These positions might include operating or overseeing autonomous vehicles, managing automated systems, or developing technologies that support automation. The goal is to improve efficiency, safety, and productivity by reducing the need for manual oversight. Careers in this field can span across industries such as transportation, manufacturing, logistics, and IT.

What are the key skills and qualifications needed to thrive as an autonomous vehicle engineer?

To thrive as an Autonomous Vehicle Engineer, you need solid expertise in robotics, computer vision, machine learning, and a background in computer science or engineering. Familiarity with programming languages like Python and C++, as well as experience with ROS (Robot Operating System) and simulation tools, is typically required. Strong problem-solving skills, attention to detail, and effective teamwork set standout professionals apart. These abilities are crucial for developing safe, reliable autonomous systems that perform well in complex, real-world environments.

How does an autonomous systems engineer typically collaborate with cross-functional teams during a project?

Autonomous Systems Engineers work closely with software developers, hardware engineers, data scientists, and project managers to design, test, and deploy autonomous technologies. Collaboration often involves regular team meetings, sharing technical documentation, and joint problem-solving sessions to ensure seamless integration of system components. Engineers may also coordinate with testing teams to validate system performance and safety, making effective communication and teamwork essential skills in this role.

What are popular job titles related to Autonomous jobs in Massachusetts?

For Autonomous jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Autonomous jobs in Massachusetts look for?

The top searched job categories for Autonomous jobs in Massachusetts are:

What cities in Massachusetts are hiring for Autonomous jobs?

Cities in Massachusetts with the most Autonomous job openings:

Autonomous jobs near you
Infographic showing various Autonomous job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Senior Software Engineer, Autonomous Pilot Integration - Emerging Domains (R5423)

Shield AI

Boston, MA • On-site

$113K - $152K/yr

Full-time

Re-posted 2 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios-including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts-often standing up the first autonomy on a brand-new platform or mission-with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK-selectively leveraging existing Shield AI autonomy solutions where they apply-to develop autonomy that runs on these new platforms. Our engineers write new autonomy code-such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy-and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. 

In this role, you'll develop and integrate autonomy capabilities across a variety of emerging-domain platforms while helping establish autonomy on systems that often have no existing autonomy baseline. You'll work closely with platform teams, the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer stakeholders to solve complex integration challenges and deliver mission-ready autonomy software. This is a hands-on role for engineers who enjoy working across diverse platforms, solving ambiguous technical problems, and seeing new capabilities operate in real-world environments. 

What You'll Do:

Stand Up New Capabilities - Help establish autonomy on new platforms and mission areas by integrating existing Shield AI capabilities with platform-specific software and developing new autonomy where needed. 

Develop & Field Autonomy - Develop and integrate autonomy software onto emerging-domain platforms, including platform and autopilot integration, payload and sensor integration, mission behaviors, multi-agent coordination, and validation through software-, hardware-, vehicle-, and live testing. 

Platform Team Partnerships - Partner closely with platform teams to integrate autonomy capabilities, validate interfaces, coordinate hardware/software compatibility, and support mission readiness. 

Collaboration Across Teams & Partners - Work with the Autonomy Capabilities, Perception, GCS teams, feature crews, and customer/program offices to deliver integrated autonomy solutions. 

Design & Documentation - Contribute to design reviews, ICDs, integration planning, and post-mortems while improving engineering rigor across teams. 

Pre-deployment Preparation - Build, configure, validate, and prepare mission-ready systems while coordinating release readiness with platform and capability teams. 

On-site Test & Mission Support - Support flight tests, maritime trials, ground testing, customer demonstrations, and operational exercises through system bring-up, troubleshooting, and mission execution. 

Hardware/Software Debugging - Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces. 

Mission Data & Debrief Support - Capture mission data, reproduce issues in simulation, and partner with capability owners to rapidly improve future releases. 

Continuous Improvement - Develop tools and engineering processes that improve integration velocity, testing reliability, and mission readiness. 

C2 Interoperability & Standards - Implement and validate interfaces with command-and-control systems while supporting program-appropriate interoperability standards. 

Travel Requirement - Members of this team typically travel around 10-20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. 

Required Qualifications:

  • BS/MS in a relevant engineering discipline or equivalent practical experience.  

  • Typically requires 5+ years of relevant experience.  

  • Strong proficiency in C++ and Linux-based development.  

  • Experience integrating embedded or real-time software systems.  

  • Experience supporting integration, testing, or operational field events.  

  • Strong systems-level problem-solving skills.  

  • Ability to obtain a SECRET clearance.  

Preferred Qualifications:

  • Experience with autonomous aircraft, maritime systems, spacecraft, or robotics.  

  • Experience with autonomy software, autopilot integration, or robotics frameworks.  

  • Python, Docker, or CI/CD experience.  

  • Experience working in early-stage R&D or rapid prototyping environments.  

  • Experience supporting DoD customers or field demonstrations. 

$163,200 - $244,800 a year
#LI-ED1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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